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Top 32 Personalization Engines SaaS Companies in May 2026

As of May 2026, there are 32 SaaS companies in Personalization Engines. They have combined revenues of $707.7M and employ 3.2K people. They have raised $95.8M and serve 1.6M customers combined.

Personalization engines are software tools designed to deliver customized content and experiences to users based on their individual behavior, preferences, and historical data. These engines utilize algorithms and data analytics to tailor interactions in real-time, enhancing the overall user experience. Common use cases include personalized marketing campaigns, tailored product recommendations, and customized user journeys across digital platforms. Typically, personalization engines feature capabilities such as user data collection, behavioral analysis, and integration with various marketing and customer service tools. They are primarily utilized by marketing teams, product managers, and customer experience professionals who aim to boost user engagement and conversion rates by providing targeted content and recommendations. By leveraging user data, these engines enable organizations to create more relevant and meaningful interactions with their customers.

Companies
32
Revenue
$707.7M
Funding
$95.8M
Employees
3.2K

Filters

Sorting: Highest -> Lowest

Filters

Top Personalization Engines Companies

Showing 10 of 13 companies ranked by annual revenue.

1
Gravity

Santa Monica, California, United States

When we founded Gravity the vision was simple – “Let’s Personalize the Internet.” The foundation of our personalization engine is a framework we call the Interest Graph, which is the set of things you care about and how much you care about them. We generate interest graphs and apply them for personalization throughout our growing network of sites and apps. Our goal is nothing less than creating magical personalized experiences for you across the entire web. In January 2014, Aol acquired Gravity. Today, Gravity works with leading publishers and news sites, like The Huffington Post and Forbes, and top brand advertisers, like Intel and Toyota.

Revenue
$4.2M
Customers
-
Year founded
2009
Funding
-
Team size
28
Growth
-
2
Customily

St. Louis, Missouri, United States

Making it easy to sell personalized products online.

Revenue
$3.5M
Customers
-
Year founded
2018
Funding
-
Team size
34
Growth
-
3
Better Impression

Tel Aviv, Israel

Better Impression helps tens of millions of unique B2B and B2C users from around the world make better-informed decisions online. Our personalization engine learns the users’ preferences and assists them in selecting the best online services. Our advanced matching techniques use big data analysis, machine learning and innovative user targeting. We leverage these technologies to individualize suggestions to our users, allowing them to discover and connect with brands that best suit their needs. We do this in a variety of online industries such as Personal & Business Finance, Website Services, Online Dating, Insurance, SaaS and more.

Revenue
$3.2M
Customers
500
Year founded
2012
Funding
-
Team size
21
Growth
27.54%
4
XGen

New York, New York, United States

We create AI-first personalization tech focusing on product-cognizant learning and innovative functionality.

Revenue
$3.2M
Customers
1.6M
Year founded
2018
Funding
$7.5M
Team size
50
Growth
96.7%
5
Target2Sell

Paris, France

Provider of a Saas-based predictive marketing tool designed to offer a personalized recommendation engine. The company's Saas-based predictive marketing tool offers customized product and media recommendations, custom recommendations for direct and reverse emails and custom sorting of list pages, enabling businesses to evolve continuously with flexibility and speed.

Revenue
$3M
Customers
500
Year founded
2012
Funding
-
Team size
18
Growth
24.9%
6
Triggerbee

Sweden

Simplifies onsite personalization for e-commerce.

Revenue
$3M
Customers
150
Year founded
2014
Funding
$253.9K
Team size
19
Growth
49.21%
7
Junction AI

Bentonville, Arkansas, United States

Developer of an artificial intelligence platform designed to help marketers to predict the images and text for successful google ads, social posts and web promotions before launching. The company's platform matches products and services that are personalized to every customer with artificial intelligence-enhanced recommendations engine and makes data assets deliver value for loyalty marketing while unifying and harnessing all data, enabling marketers to individualize promotions for travel experiences, offers, perks and amenities to each customer.

Revenue
$2.5M
Customers
-
Year founded
2015
Funding
$984K
Team size
17
Growth
93.04%
8
Segmentify

London, England, United Kingdom

personalization platform for online retailers

Revenue
$2.3M
Customers
150
Year founded
2015
Funding
$3.3M
Team size
104
Growth
26.5%
9
Albatross AI

Baar, ZG, Switzerland

The foundational AI platform for real-time personalization

Revenue
$2.2M
Customers
-
Year founded
2024
Funding
-
Team size
20
Growth
-
10
Argoid AI (an Amagi company)

San Francisco, California, United States

Argoid helps businesses deliver personalized experiences across various digital touch points with hyper-personalized recommendations. We want to enable businesses to grow their revenue with 1:1 personalization for Streaming platforms. Argoid produces the best conversion rates possible with its real-time AI driven recommendation system . At Argoid, we offer personalized content recommendations to amp-up viewer journeys. Our personalized recommendations include, Home page Recommendations, Similar Movie Recommendations, For You Recommendations, Recently Watched and more. Argoid builds a deep understanding of each viewer to auto-deliver the most relevant recommendations. Our real-time content recommendations are powered by viewers’ intent and browsing history, among a billion data points. Our team comes with a diverse and complementary skill set, dedication, and experience.We learn from each other, our customers, and follow the latest industry trends to ensure that our customers gets the best results To learn more about how you can amplify your growth with a recommendation engine, Request a demo at www.argoid.ai

Revenue
$2M
Customers
-
Year founded
2018
Funding
-
Team size
18
Growth
-

Inclusion Criteria

- Must offer real-time data analysis to personalize user interactions - Should integrate with existing marketing and CRM platforms - Must provide capabilities for A/B testing and performance tracking - Should include features for user segmentation based on behavior and demographics - Not just for content delivery; must also facilitate personalized recommendations and user journey mapping